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power calculation machine

power calculation machine

Let D be a distribution over X × { − 1, 1 }, where X = { x: ‖ x ‖ ≤ ρ }. Consider running Soft-SVM (with no bias term) on a training set S ∼ D m and let A ( S) be the solution of Soft-SVM: L S h i n g e ( w) = 1 m ∑ i = 1 m max { 0, 1 − y w, x i }. ( w, x ) = y 1 otherwise] is just the accuracy of w

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